results – AI Model by Adityair | AlphaNeural AI

You can deploy this model and start earning money today!

Adityair/
results

like

0

image-classification

generated_from_trainer

google/vit-base-patch16-224-in21k

autotrain_compatible

endpoints_compatible

Views

No views yet

results

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6595
Accuracy: 0.45

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.061	1.0	20	2.0509	0.175
1.9372	2.0	40	1.9711	0.325
1.8208	3.0	60	1.8809	0.3563
1.7153	4.0	80	1.8119	0.3688
1.6056	5.0	100	1.7557	0.4188
1.5218	6.0	120	1.7122	0.4313
1.4685	7.0	140	1.6863	0.4313
1.4317	8.0	160	1.6678	0.4437
1.3814	9.0	180	1.6595	0.45
1.3877	10.0	200	1.6561	0.45

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1